Add project metadata for uv-managed development environments#7091
Open
bzantium wants to merge 1 commit intotensorflow:masterfrom
Open
Add project metadata for uv-managed development environments#7091bzantium wants to merge 1 commit intotensorflow:masterfrom
bzantium wants to merge 1 commit intotensorflow:masterfrom
Conversation
01eca74 to
0946fd1
Compare
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Fixes #7090.
Summary
This makes the repository root a valid Python project for tools like Astral
uvwithout changing the existing Bazel-based TensorBoard build/run workflow.Changes:
projecttable inpyproject.tomltensorboard/pip_package/requirements.txttensorflowoptional extra that installstf-nightlyuvworkflow inDEVELOPMENT.mduvartifacts (.venv/,uv.lock)Motivation
Before this change, the repo root had a
pyproject.tomlbut noprojecttable, so commands likeuv syncanduv pip install -e .failed from a fresh checkout.This change gives contributors a straightforward way to manage the development environment with
uv, while still using Bazel to build and run TensorBoard itself.Verification
I verified:
uv syncuv sync --extra tensorflowuv pip install -e .I did not verify
uv run bazel run //tensorboard -- --logdir ...here because Bazel is not installed in this environment.